Please use this identifier to cite or link to this item:
|Title:||Adaptive controller design using just-in-time learning algorithm||Authors:||Cheng, C.
|Issue Date:||2004||Citation:||Cheng, C.,Hashimoto, Y.,Chiu, M.-S. (2004). Adaptive controller design using just-in-time learning algorithm. Proceedings of the IEEE International Conference on Control Applications 2 : 1106-1111. ScholarBank@NUS Repository.||Abstract:||In this paper, an adaptive FID controller design based on just-in-time learning (JITL) algorithm is developed. Inspired by the learning strategy of neural network, a gradient descent algorithm is used to tune the controller parameters on-line based on the information provided by JITL. In addition, a predictive feedforward control scheme is devised to enhance the disturbance rejection capability of the proposed design. The proposed method is illustrated and evaluated by a case study of a polymerization reactor. © 2004 IEEE.||Source Title:||Proceedings of the IEEE International Conference on Control Applications||URI:||http://scholarbank.nus.edu.sg/handle/10635/74467|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 23, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.